
For FullText PDF, please login, if you are a member of IEICE,
or go to Pay Per View on menu list, if you are a nonmember of IEICE.

A Recursive Algorithm for Tracking DOA's of Multiple Moving Targets by Using Linear Approximations
Hajime KAGIWADA Hiromitsu OHMORI Akira SANO
Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Vol.E81A
pp.639648 Publication Date: 1998/04/25 Online ISSN:
DOI: Print ISSN: 09168508 Type of Manuscript: Category: Digital Signal Processing Keyword: array signal processing, array sensor, parameter estimation, DOA,
Full Text: PDF(801.9KB)>>
Summary:
In this work, a new algorithm for tracking the directionsofarrival (DOA's) of moving targets by introducing a linear approximation is proposed. The targets are assumed to move with constant angular velocities within a short time and emitting continuously narrowband signals that impinge on an array of sensors. Therefore the trajectories of targets can be approximated by linear functions of time, which consist of the DOA's and the angular velocities, within the short time. In the condition that the number of targets is known and the outputs vector of the sensors including the additive white complex Gaussian noises is observed continuously, a cost function which consists of the squared residual error vectors is defined. The estimation of the DOA's and the angular velocities of targets is performed by minimizing this cost function. By estimating both the DOA's and the angular velocities at the same time, the proposed algorithm is able to improve the tracking performance for rapidly moving targets. In computer simulations, the performance of the proposed algorithm is compared with the ESPRIT method, which is one of the typical subspace methods with super resolution.


